Aarti Bansal | Tech Innovations | Research Excellence Award

Dr. Aarti Bansal | Tech Innovations | Research Excellence Award

Thapar Institute of Engineering and Technology, Patiala | India

Dr. Aarti Bansal’s research focuses on advanced antenna design, RFID systems, metamaterials, and wireless communication technologies. Her work emphasizes compact, high-performance UHF RFID tag antennas, MIMO systems, and energy-efficient wireless sensor networks for real-time applications. She has contributed to both theoretical and experimental advancements, including platform-tolerant and multi-band antenna solutions. Her research integrates electromagnetic simulation, optimization algorithms, and emerging technologies such as machine learning. Dr. Bansal holds multiple granted and published patents in antenna engineering and has received recognition for innovative research contributions, including best paper and thesis awards. She actively contributes to high-impact journals and international conferences.

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136

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Featured Publications


Platform tolerant dual‐band UHF‐RFID tag antenna with enhanced read range using artificial magnetic conductor structures

– International Journal of RF and Microwave Computer‐Aided Engineering, 2020 | Cited by: 51

Compact meandered RFID tag antenna with high read range for UHF band applications

– International Journal of RF and Microwave Computer‐Aided Engineering, 2019 | Cited by: 47

UHF-RFID Tag Design for Improved Traceability Solution for workers’ safety at Risky Job sites

– IEEE International Conference on RFID Technology and Applications, 2021 | Cited by: 25 

Shamima Ferdousi Sifa | Remote Sensing | Research Excellence Award

Ms. Shamima Ferdousi Sifa | Remote Sensing | Research Excellence Award

Assistant Professor | University of Dhaka | Bangladesh

Shamima Ferdousi Sifa is an academic in disaster science and climate resilience with expertise in geospatial analysis, remote sensing, and climate risk assessment. Her research focuses on landslide susceptibility, flood dynamics, urban heat islands, and climate change impacts using GIS, satellite data, and statistical modeling. She contributes to interdisciplinary studies addressing hazard vulnerability, disaster risk reduction, and community resilience. Her professional work includes teaching, supervising research, and leading collaborative projects related to environmental hazards and climate adaptation. She has produced scholarly publications in environmental and geoscience fields with publication metrics including h-index: 4, Citations: 68, and Documents: 6, reflecting growing research influence in disaster and climate studies.

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68

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6

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Nikolaos Taprantzis | Medicine and Health Sciences | Research Excellence Award

Mr. Nikolaos Taprantzis | Medicine and Health Sciences | Research Excellence Award

National and Kapodistrian University of Athens | Greece

Mr. Nikolaos Taprantzis is a medical researcher with a strong focus on clinical and surgical sciences, particularly in anatomical research and evidence-based medicine. His work centers on systematic reviews, meta-analyses, and case-based investigations addressing complex surgical and vascular conditions. He has contributed to multidisciplinary research spanning surgical anatomy, vascular pathology, transplantation science, and bioethics. His scholarly activities also extend to academic publishing, including contributions to major medical texts. His research demonstrates a commitment to advancing clinical knowledge through rigorous data synthesis, interdisciplinary collaboration, and critical evaluation of surgical outcomes and anatomical variations relevant to modern medical practice.

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2

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7

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Jonghun Lim | Engineering and Technology | Research Excellence Award

Dr. Jonghun Lim | Engineering and Technology | Research Excellence Award

Institute for Advanced Engineering | South Korea

Dr. Jonghun Lim is a researcher in advanced chemical and energy systems, specializing in sustainable process design and optimization. His work focuses on hydrogen production and integrated energy systems, waste-to-resource technologies, and carbon capture and utilization (CO₂, SOx, NOx). He applies artificial intelligence, including machine learning and optimization algorithms, to enhance process efficiency and environmental performance. His research integrates techno-economic assessment (TEA), life-cycle assessment (LCA), and sensitivity analysis to support scalable and economically viable solutions. Dr. Lim has contributed significantly to carbon-neutral process innovation, particularly in hydrogen infrastructure, waste valorization, and environmentally sustainable chemical engineering systems.

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942

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56

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19

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Franziska Münz | Neuroscience | Emerging Research Star Award

Dr. Franziska Münz | Neuroscience | Emerging Research Star Award

Universität Ulm | Germany

Dr. Franziska Münz is a medical researcher and clinician specializing in anesthesiology, intensive care, and translational biomedical science. Her expertise integrates clinical medicine with experimental research, particularly focusing on cellular responses to therapeutic interventions and mechanisms influencing tissue regeneration, inflammation, and therapeutic outcomes. Her academic training in human medicine supports contributions to studies examining the effects of chemotherapeutic agents on mesenchymal stem cells and related biomedical processes. Her professional experience combines patient-centered clinical practice with scientific investigation, promoting evidence-based medical advancement. Publication metrics reflect an h-index of 5 with 101 citations across 11 documents. Her research approach emphasizes interdisciplinary collaboration to translate laboratory insights into improved clinical strategies.

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Hande Seven Avuk | Environmental Hypotheses | Research Excellence Award

Dr. Hande Seven Avuk | Environmental Hypotheses | Research Excellence Award

Istanbul Bilgi University | Turkey

Dr. Hande Seven Avuk is a researcher in nutrition and dietetics with a focus on medical nutrition therapy, sports nutrition, and diet-related chronic diseases. Her work explores dietary patterns, behavioral nutrition, and functional foods, with emphasis on metabolic health, obesity, and gastrointestinal outcomes. She has contributed to interdisciplinary research linking nutrition with public health, sustainability, and clinical outcomes. Her research portfolio includes international journal publications, conference presentations, and book chapters, alongside involvement in nationally funded research projects. She actively supervises graduate research and contributes to advancing evidence-based dietary interventions and nutrition education in both clinical and population health contexts.

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42

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26

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Evaluation of Diet Quality, Work Stress and Anxiety Status of White and Blue Collar Industrial Workers

– Manisa Celal Bayar University Journal of Institute of Health Science, 2024 | Cited by: 2

Maged Youssef | Architecture | Research Hypothesis Excellence Award

Assoc. Prof. Dr. Maged Youssef | Architecture | Research Hypothesis Excellence Award

Associate Professor | Beirut Arab University | Lebanon

Assoc. Prof. Dr. Maged Youssef is an academic researcher and educator specializing in theory of architecture and architectural design. His expertise spans contemporary architectural trends, sustainable design, urban regeneration, and technology-driven built environments. He has contributed through journal articles, conference papers, and scholarly works, strengthening theoretical and applied architectural knowledge. His research emphasizes human-centered design, sustainability, and spatial innovation while addressing complex urban challenges. With an interdisciplinary approach, he supports academic advancement and design thinking. His publication metrics include an h-index of 2, with 8 citations across 10 indexed documents, reflecting his growing scholarly impact in architecture.

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Tony Bader | Medical | Research Excellence Award

Dr. Tony Bader | Medical | Research Excellence Award

American University of Beirut | Lebanon

Dr. Tony Bader is a multidisciplinary researcher and dental surgeon specializing in artificial intelligence, digital transformation, and governance, with a strong focus on healthcare systems and institutional decision-making. His work explores the integration of AI-driven tools in diagnostics, clinical practice, and public institutions, emphasizing accountability, efficiency, and ethical frameworks. He contributes to academic research, policy discussions, and interdisciplinary collaborations addressing the societal impact of emerging technologies. With professional experience spanning clinical practice, research, consulting, and leadership, he advances innovative approaches to digital adoption, organizational strategy, and evidence-based decision-making, bridging healthcare, technology, and governance for sustainable and impactful outcomes.

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Saidjon Tavarov | Energy | Research Excellence Award

Assoc. Prof. Dr. Saidjon Tavarov | Energy | Research Excellence Award

Associate Professor | South Ural State University | Russia

Assoc. Prof. Dr. Saidjon Tavarov is an accomplished academic and researcher specializing in power engineering, electrical safety, and energy systems modeling. His expertise focuses on analyzing energy consumption patterns and forecasting electrical loads in urban residential networks, emphasizing optimized grid performance and safety. His research integrates advanced modeling, statistical analysis, and international standards to solve practical power distribution challenges. He has contributed to studies on asymmetric network behavior, high-voltage safety, and energy efficiency. His scholarly output includes 21 publications with 94 citations and an h-index of 6, reflecting his growing impact and commitment to reliable and safe electrical infrastructure systems.

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Gourav Salottra | Finance | Research Excellence Award

Mr. Gourav Salottra | Finance | Research Excellence Award

Boston University | United States

Mr. Gourav Salottra is a machine learning systems engineer specializing in high-performance computing, distributed training infrastructure, and GPU optimization. His expertise spans low-level systems programming, numerical computing, and scalable machine learning frameworks, with strong proficiency in C++, Python, and heterogeneous architectures. He focuses on accelerating model training, optimizing memory and communication efficiency, and building robust research toolchains. His contributions include developing high-performance numerical libraries, distributed synchronization systems, and advanced profiling tools that enhance computational efficiency and scalability. With a research-driven engineering approach, he bridges hardware-aware optimization with practical AI deployment, enabling faster experimentation, improved system reliability, and impactful advancements in large-scale machine learning systems.

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